{"id":4286411,"url":"https://alion.io/job/dewberry-geospatial-engineer-cloud-devops","title":"Geospatial Engineer – Cloud & DevOps","company":{"id":1980050,"name":"Dewberry","domain":"dewberry.com","url":"https://alion.io/company/dewberry","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":116000,"max":156000,"currency":"USD","period":"year","gross":null,"usd_annual":156000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GDAL","optional":false},{"name":"Git","optional":false},{"name":"Least Privilege","optional":false},{"name":"PostGIS","optional":false},{"name":"Python","optional":false},{"name":"QGIS","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Fargate","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CloudFormation","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Rest API","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-13T22:02:09Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T22:02:09Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\nDewberry is seeking a Geospatial Engineer with experience in cloud-based workflows, software development, and DevOps to join our Resilience Solutions team. This position will support the development of modern geospatial applications, data pipelines, and analytical workflows used for flood risk, water resources, and resilience projects.\nThe ideal candidate combines strong geospatial fundamentals with hands-on programming and cloud experience. They will work alongside geospatial professionals, engineers, scientists, and software developers to move geospatial workflows from desktop or manual processes toward automated, reproducible, cloud-based solutions.\nThis is a remote position with flexibility to work anywhere in the US.\nDewberry is a leading, market-facing professional services firm with more than 60 locations and 2,500 professionals nationwide. What sets us apart from our competitors are our people. At Dewberry, we seek out exceptional talent and strive to deliver the highest quality of services to our clients. Whether you’re an experienced professional or a new graduate, you’ll have the chance to collaborate with the best and brightest and work on innovative and complex projects at the forefront of the industry. Our commitment to excellence stems from our personal integrity and from other defining attributes, which we call “Dewberry at Work,” that have inspired our employees to be successful for more than a half-century. \nResponsibilities\nDevelop, automate, and maintain open-source geospatial data-processing and analytical workflows using Python and modern geospatial libraries and tools.\nDesign workflows for large raster, vector, and multidimensional geospatial datasets using both traditional GIS and cloud-native approaches.\nDevelop and maintain cloud-based geospatial processing environments using AWS and/or Azure.\nBuild reproducible deployment and processing workflows using Docker, infrastructure as code, continuous integration and continuous delivery (CI/CD), and version control.\nDevelop data pipelines that support ingestion, transformation, validation, analysis, cataloging, and delivery of geospatial information.\nDevelop and integrate geospatial databases, APIs, services, and application components.\nSupport scalable processing using containerized and parallel or distributed computing approaches.\nImplement testing, logging, monitoring, documentation, and quality-control practices for production geospatial workflows.\nOptimize cloud storage, compute, and data-access patterns for performance, reliability, and cost.\nApply appropriate security practices, including identity and access management, least-privilege access, secrets management, encryption, and vulnerability remediation.\nCollaborate with engineers, scientists, data scientists, and software developers to translate analytical requirements into maintainable operational workflows.\nEvaluate emerging geospatial and cloud technologies and help transition successful pilots into project and production environments.\nDocument architectures, workflows, code, and operational procedures and share knowledge across project teams.\nRequired Skills & Required Experience\nBachelor’s degree in Geography, Geographic Information Systems, Computer Science, Engineering, Data Science, Environmental Science, or a related field, or equivalent relevant experience.\nThree or more years of relevant professional experience in geospatial development, data engineering, software development, cloud computing, or a related area.\nStrong proficiency with Python for geospatial processing, automation, and data manipulation.\nExperience with common geospatial technologies such as QGIS, GDAL, GeoPandas, Rasterio, PostGIS, or similar tools.\nExperience working with geospatial raster and vector data and spatial databases.\nWorking experience with AWS and/or Azure cloud services.\nExperience with Git and modern collaborative software-development practices.\nExperience developing repeatable data-processing or analytical workflows.\nStrong problem-solving skills and ability to work effectively with multidisciplinary technical teams.\nStrong technical communication and documentation skills.\nPreferred Qualifications\nExperience with Docker and containerized geospatial processing.\nExperience with Terraform, AWS Cloud Development Kit (CDK), AWS CloudFormation, or other infrastructure-as-code technologies.\nExperience developing or maintaining CI/CD pipelines.\nExperience with cloud storage, compute, and orchestration technologies such as Amazon S3, Amazon ECS or Fargate, AWS Batch, AWS Lambda, Azure Blob Storage, Azure Functions, or Kubernetes.\nExperience with cloud-native geospatial formats and technologies such as Cloud Optimized GeoTIFF, GeoParquet or Parquet, Zarr, SpatioTemporal Asset Catalogs (STAC), or similar approaches.\nExperience with PostgreSQL/PostGIS and geospatial database design and optimization.\nExperience developing or consuming REST APIs or Open Geospatial Consortium APIs.\nExperience with automated testing, logging, monitoring, and software quality practices.\nFamiliarity with security concepts including identity and access management, role-based access control, encryption, secrets management, and vulnerability scanning.\nExperience with flood risk, water resources, environmental modeling, transportation, or other infrastructure-related geospatial applications.\nExperience supporting FEMA, USACE, NOAA, USGS, state agencies, or similar public-sector clients.\n*At this time, Dewberry will not sponsor a new applicant for work authorization.\n*Dewberry is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, gender identity or sexual orientation.*Only recipients of an offer of employment from Dewberry, will be required to submit to a background screening which may include, but is not limited to, employment verification, educational and other credential verification, driving record check, criminal background check, and an investigative consumer report. These screenings will be conducted by Dewberry’s background vendor of choice and will be conducted in compliance with all applicable federal, state, and local law.\n\nSalary Range\nThe projected range for this position is $116,000-$156,000 annually in our Fairfax, VA office. Depending upon other factors, i.e., skills, experience, location, market conditions, the range may vary slightly.","description_format":"text","description_chars":6518,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Geospatial Analytics","Architecture","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-11-13T22:02:09Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-11-13T22:53:12Z"},"pay":{"stated_usd_annual":156000,"is_top_pay":true},"html_url":"https://alion.io/job/dewberry-geospatial-engineer-cloud-devops","json_url":"https://alion.io/job/dewberry-geospatial-engineer-cloud-devops.json","meta":{"generated_at":"2026-11-13T22:53:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":45578,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1980050},"rest":"https://alion.io/mcp/rest/get_company?id=1980050"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdewberry-geospatial-engineer-cloud-devops"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdewberry-geospatial-engineer-cloud-devops"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdewberry-geospatial-engineer-cloud-devops"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dewberry-geospatial-engineer-cloud-devops\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdewberry-geospatial-engineer-cloud-devops"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4286411}},{"tool":"search_jobs","arguments":{"company":"dewberry.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4286411},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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